Python CPython up to 3.14.x profiling.sampling/asyncio stack-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.0 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Python CPython up to 3.14.x and classified as critical. Impacted is an unknown function of the component profiling.sampling/asyncio. Executing a manipulation can lead to stack-based overflow. This vulnerability is registered as CVE-2026-5713. It is possible to launch the attack remotely. No exploit is available. It is suggested to upgrade the affected component.
Details
A vulnerability has been found in Python CPython up to 3.14.x and classified as critical. This vulnerability affects an unknown code of the component profiling.sampling/asyncio. The manipulation with an unknown input leads to a stack-based overflow vulnerability. The CWE definition for the vulnerability is CWE-121. A stack-based buffer overflow condition is a condition where the buffer being overwritten is allocated on the stack (i.e., is a local variable or, rarely, a parameter to a function). As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:
The "profiling.sampling" module (Python 3.15+) and "asyncio introspection capabilities" (3.14+, "python -m asyncio ps" and "python -m asyncio pstree") features could be used to read and write addresses in a privileged process if that process connected to a malicious or "infected" Python process via the remote debugging feature. This vulnerability requires persistently and repeatedly connecting to the process to be exploited, even after the connecting process crashes with high likelihood due to ASLR.
The advisory is shared for download at github.com. This vulnerability was named CVE-2026-5713 since 04/06/2026. The exploitation appears to be easy. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. There are neither technical details nor an exploit publicly available.
The vulnerability scanner Nessus provides a plugin with the ID 306474 (Linux Distros Unpatched Vulnerability : CVE-2026-5713), which helps to determine the existence of the flaw in a target environment.
Upgrading to version 3.15.0 eliminates this vulnerability. Applying a patch is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
The vulnerability is also documented in the databases at Tenable (306474) and CERT Bund (WID-SEC-2026-1121). Once again VulDB remains the best source for vulnerability data.
Affected
- Red Hat Enterprise Linux
- Fedora Linux
- Oracle Linux
- SUSE openSUSE
- RESF Rocky Linux
- Open Source Python
Product
Type
Vendor
Name
Version
License
Website
- Product: https://github.com/python/cpython/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 7.0
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Stack-based overflowCWE: CWE-121 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Nessus ID: 306474
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2026-5713
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: CPython 3.15.0
Patch: github.com
Timeline
04/06/2026 CVE reserved04/14/2026 Advisory disclosed
04/14/2026 VulDB entry created
06/23/2026 VulDB entry last update
Sources
Product: github.comAdvisory: 148178
Status: Confirmed
CVE: CVE-2026-5713 (🔒)
GCVE (CVE): GCVE-0-2026-5713
GCVE (VulDB): GCVE-100-357340
CERT Bund: WID-SEC-2026-1121 - CPython: Schwachstelle ermöglicht Manipulation von Daten
Entry
Created: 04/14/2026 18:41Updated: 06/23/2026 15:51
Changes: 04/14/2026 18:41 (70), 04/15/2026 17:27 (2), 04/24/2026 23:20 (7), 06/23/2026 15:51 (1)
Complete: 🔍
Cache ID: 216::103
Once again VulDB remains the best source for vulnerability data.
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